Upload zai-org_GLM-ASR-Nano-2512_0.txt with huggingface_hub

zai-org_GLM-ASR-Nano-2512_0.txt

@@ -0,0 +1,75 @@
+```CODE: 
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+pipe = pipeline("automatic-speech-recognition", model="zai-org/GLM-ASR-Nano-2512", trust_remote_code=True)
+```
+
+ERROR: 
+Traceback (most recent call last):
+  File "/tmp/zai-org_GLM-ASR-Nano-2512_0g6VREM.py", line 26, in <module>
+    pipe = pipeline("automatic-speech-recognition", model="zai-org/GLM-ASR-Nano-2512", trust_remote_code=True)
+  File "/tmp/.cache/uv/environments-v2/e265c82f8ee277ed/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 1027, in pipeline
+    framework, model = infer_framework_load_model(
+                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^
+        adapter_path if adapter_path is not None else model,
+        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+    ...<5 lines>...
+        **model_kwargs,
+        ^^^^^^^^^^^^^^^
+    )
+    ^
+  File "/tmp/.cache/uv/environments-v2/e265c82f8ee277ed/lib/python3.13/site-packages/transformers/pipelines/base.py", line 333, in infer_framework_load_model
+    raise ValueError(
+        f"Could not load model {model} with any of the following classes: {class_tuple}. See the original errors:\n\n{error}\n"
+    )
+ValueError: Could not load model zai-org/GLM-ASR-Nano-2512 with any of the following classes: (<class 'transformers.models.auto.modeling_auto.AutoModelForCTC'>, <class 'transformers.models.auto.modeling_auto.AutoModelForSpeechSeq2Seq'>). See the original errors:
+
+while loading with AutoModelForCTC, an error is thrown:
+Traceback (most recent call last):
+  File "/tmp/.cache/uv/environments-v2/e265c82f8ee277ed/lib/python3.13/site-packages/transformers/pipelines/base.py", line 293, in infer_framework_load_model
+    model = model_class.from_pretrained(model, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/e265c82f8ee277ed/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 607, in from_pretrained
+    raise ValueError(
+    ...<2 lines>...
+    )
+ValueError: Unrecognized configuration class <class 'transformers_modules.zai_hyphen_org.GLM_hyphen_ASR_hyphen_Nano_hyphen_2512.fdc39709f86b00cdce879c04d967c2146ce4053c.configuration_glmasr.GlmasrConfig'> for this kind of AutoModel: AutoModelForCTC.
+Model type should be one of Data2VecAudioConfig, HubertConfig, MCTCTConfig, ParakeetCTCConfig, SEWConfig, SEWDConfig, UniSpeechConfig, UniSpeechSatConfig, Wav2Vec2Config, Wav2Vec2BertConfig, Wav2Vec2ConformerConfig, WavLMConfig.
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/tmp/.cache/uv/environments-v2/e265c82f8ee277ed/lib/python3.13/site-packages/transformers/pipelines/base.py", line 311, in infer_framework_load_model
+    model = model_class.from_pretrained(model, **fp32_kwargs)
+  File "/tmp/.cache/uv/environments-v2/e265c82f8ee277ed/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 607, in from_pretrained
+    raise ValueError(
+    ...<2 lines>...
+    )
+ValueError: Unrecognized configuration class <class 'transformers_modules.zai_hyphen_org.GLM_hyphen_ASR_hyphen_Nano_hyphen_2512.fdc39709f86b00cdce879c04d967c2146ce4053c.configuration_glmasr.GlmasrConfig'> for this kind of AutoModel: AutoModelForCTC.
+Model type should be one of Data2VecAudioConfig, HubertConfig, MCTCTConfig, ParakeetCTCConfig, SEWConfig, SEWDConfig, UniSpeechConfig, UniSpeechSatConfig, Wav2Vec2Config, Wav2Vec2BertConfig, Wav2Vec2ConformerConfig, WavLMConfig.
+
+while loading with AutoModelForSpeechSeq2Seq, an error is thrown:
+Traceback (most recent call last):
+  File "/tmp/.cache/uv/environments-v2/e265c82f8ee277ed/lib/python3.13/site-packages/transformers/pipelines/base.py", line 293, in infer_framework_load_model
+    model = model_class.from_pretrained(model, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/e265c82f8ee277ed/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 607, in from_pretrained
+    raise ValueError(
+    ...<2 lines>...
+    )
+ValueError: Unrecognized configuration class <class 'transformers_modules.zai_hyphen_org.GLM_hyphen_ASR_hyphen_Nano_hyphen_2512.fdc39709f86b00cdce879c04d967c2146ce4053c.configuration_glmasr.GlmasrConfig'> for this kind of AutoModel: AutoModelForSpeechSeq2Seq.
+Model type should be one of DiaConfig, GraniteSpeechConfig, KyutaiSpeechToTextConfig, MoonshineConfig, Pop2PianoConfig, SeamlessM4TConfig, SeamlessM4Tv2Config, SpeechEncoderDecoderConfig, Speech2TextConfig, SpeechT5Config, WhisperConfig.
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/tmp/.cache/uv/environments-v2/e265c82f8ee277ed/lib/python3.13/site-packages/transformers/pipelines/base.py", line 311, in infer_framework_load_model
+    model = model_class.from_pretrained(model, **fp32_kwargs)
+  File "/tmp/.cache/uv/environments-v2/e265c82f8ee277ed/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 607, in from_pretrained
+    raise ValueError(
+    ...<2 lines>...
+    )
+ValueError: Unrecognized configuration class <class 'transformers_modules.zai_hyphen_org.GLM_hyphen_ASR_hyphen_Nano_hyphen_2512.fdc39709f86b00cdce879c04d967c2146ce4053c.configuration_glmasr.GlmasrConfig'> for this kind of AutoModel: AutoModelForSpeechSeq2Seq.
+Model type should be one of DiaConfig, GraniteSpeechConfig, KyutaiSpeechToTextConfig, MoonshineConfig, Pop2PianoConfig, SeamlessM4TConfig, SeamlessM4Tv2Config, SpeechEncoderDecoderConfig, Speech2TextConfig, SpeechT5Config, WhisperConfig.
+
+
+